TU Berlin

Department of Telecommunication SystemsAdaptive Resource Management

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Adaptive Resource Management (ARM)

Lupe

One of the areas we work on in the DOS group is adaptive resource management for data-intensive distributed applications, aiming at systems that automatically adapt to workloads and environments. Learn more...

Research

Aiming to make it easier to run data-intensive applications efficiently on distributed computing infrastructures from small devices to large-scale clusters, we work on adaptive resource management, following an iterative systems research approach.

Current research directions include:

Recent Publications

Lorenz, Felix and Thamsen, Lauritz and Wilke, Andreas and Behnke, Ilja and Waldmüller-Littke, Jens and Komarov, Ilya and Kao, Odej and Paeschke, Manfred (2020). Fingerprinting Analog IoT Sensors for Secret-Free Authentication. 2020 29th International Conference on Computer Communications and Networks (ICCCN). IEEE, 1–6.


Lorenz, Felix and Geldenhuys, Morgan and Sommer, Harald and Jakobs, Frauke and Lüring, Carsten and Skwarek, Volker and Behnke, Ilja and Thamsen, Lauritz (2020). A Scalable and Dependable Data Analytics Platform for Water Infrastructure Monitoring. 2020 IEEE International Conference on Big Data. IEEE, 3488–3493.


Martin Haug, Felix Lorenz, and Lauritz Thamsen (2021). GRAL: Localization of Floating Wireless Sensors in Pipe Networks. Proceedings of the 9th IEEE International Conference on Cloud Engineering (IC2E). IEEE, 251-257.


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